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Tag: Partial Wavelet Coherence

Embeddedness of Hungarian pig prices in the European pork market: a volatility spillover and partial wavelet coherence study

Compared to most of the agricultural commodity markets in the European Union (EU), the pig market is less regulated and EU pig prices can be regarded as free market prices. It is thus an ideal economic research opportunity to investigate agricultural market integration and spatial price transmission mechanisms in the EU in the different Member States (MS). Depending on the geographical location, the decoupling of production costs from prices paid to pig farmers can jeopardise the fragile market balance between producers and processors. To retrospectively identify price setting trends, this paper examines how price return trends in the Hungarian pig sector are reflected in dynamic Diebold–Yilmaz spillover indices between 2007 and 2021. The results show that Hungary was mostly a net spillover receiver throughout the investigated period. Pairwise comparison of price spillovers to and from other MSs indicated that the German pig market had the strongest effect on the price forecast error variance in the Hungarian market, but transient interaction with other MS markets was also detected. To obtain a detailed time domain representation of the multivariate relationship between different MS’s price returns, our method considers an improved partial wavelet coherence (pwc) approach, which – to our knowledge – has ...

Journal Metrics

Scimago Journal & Country Rank

 

 

 

 

  • Scopus SJR (2023): 0.29
  • Scopus CiteScore (2022): 2.0
  • WoS Journal Impact Factor (2023): 0.9
  • WoS Journal Citation Indicator (2023): 0.33
  • ISSN (electronic): 2063-0476
  • ISSN-L 1418-2106

 

Impressum

Publisher Name: Institute of Agricultural Economics Nonprofit Kft. (AKI)

Publisher Headquarters: Zsil utca 3-5, 1093-Budapest, Hungary

Name of Responsible Person for Publishing:        Dr. Pal Goda

Name of Responsible Person for Editing:             Dr. Attila Jambor

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The publication cost of the journal is supported by the Hungarian Academy of Sciences.

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